{"id":"W4405339050","doi":"10.1515/9781779400093-004","title":"Chapter 2. Automatic Separation in Canada","year":2024,"lang":"en","type":"book-chapter","venue":"University of Regina Press eBooks","topic":"Migration, Policy, and Dickens Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Separation (statistics); Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007064086,0.0008491683,0.0005998085,0.002187517,0.006132361,0.005234216,0.001843766,0.001402075,0.05796989],"category_scores_gemma":[0.002049279,0.0005730846,0.0007621225,0.004866119,0.002400516,0.002488817,0.001693554,0.001499047,0.006937594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0361154,"about_ca_system_score_gemma":0.06228401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9522346,"about_ca_topic_score_gemma":0.9625641,"domain_scores_codex":[0.9990008,0.00006136554,0.00003191056,0.0001620833,0.0005051972,0.0002386495],"domain_scores_gemma":[0.9994587,0.00008791738,0.00001849955,0.00005704233,0.000336732,0.000041116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001017162,0.00005081294,0.001600971,0.0002172621,0.00002634698,0.0001157346,0.001454491,0.006089812,0.001603379,0.3116385,0.2485914,0.4285095],"study_design_scores_gemma":[0.00001751946,0.00001095535,0.002918042,0.0001548143,0.00002560427,0.0001012319,0.001014142,0.008734765,0.002074522,0.06615328,0.9187388,0.00005637423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01696356,0.01933163,0.09004676,0.01049637,0.001400514,0.000264022,0.003589305,0.003573975,0.8543339],"genre_scores_gemma":[0.1729739,0.01482392,0.08006544,0.001617445,0.0002874007,0.0001541174,0.003989376,0.001468036,0.7246204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05796989,"threshold_uncertainty_score":0.2620368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070528602517374,"score_gpt":0.2472784373339287,"score_spread":0.216573151308755,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}